{"id":"https://openalex.org/W2084891393","doi":"https://doi.org/10.2298/csis1001127z","title":"Effective semi-supervised nonlinear dimensionality reduction for wood defects recognition","display_name":"Effective semi-supervised nonlinear dimensionality reduction for wood defects recognition","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2084891393","doi":"https://doi.org/10.2298/csis1001127z","mag":"2084891393"},"language":"en","primary_location":{"id":"doi:10.2298/csis1001127z","is_oa":true,"landing_page_url":"https://doi.org/10.2298/csis1001127z","pdf_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02141001127Z","source":{"id":"https://openalex.org/S206939107","display_name":"Computer Science and Information Systems","issn_l":"1820-0214","issn":["1820-0214","2406-1018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321031","host_organization_name":"ComSIS Consortium","host_organization_lineage":["https://openalex.org/P4310321031"],"host_organization_lineage_names":["ComSIS Consortium"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Science and Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02141001127Z","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100423029","display_name":"Zhao Zhang","orcid":"https://orcid.org/0000-0002-5703-7969"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Zhang","raw_affiliation_strings":["School of Information Technology, Nanjing Forestry University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology, Nanjing Forestry University, Nanjing, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100718480","display_name":"Ning Ye","orcid":"https://orcid.org/0000-0001-7249-8352"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]},{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Ning","raw_affiliation_strings":["School of Information Technology, Nanjing Forestry University, Nanjing, China + School of Computer Science and Technology, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology, Nanjing Forestry University, Nanjing, China + School of Computer Science and Technology, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455","https://openalex.org/I167027274"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7444,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.79035506,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7","issue":"1","first_page":"127","last_page":"138"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13568","display_name":"Wood and Agarwood Research","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1605","display_name":"Organic Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.8438798189163208},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7976117730140686},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7291491031646729},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6919990181922913},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6790909767150879},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5715989470481873},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5322121381759644},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5138290524482727},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.5029916167259216},{"id":"https://openalex.org/keywords/data-reduction","display_name":"Data reduction","score":0.4945387542247772},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4893881678581238},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4866243302822113},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4834626615047455},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.48084911704063416},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.43627652525901794},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3477717638015747},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32138657569885254},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1592789590358734}],"concepts":[{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.8438798189163208},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7976117730140686},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7291491031646729},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6919990181922913},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6790909767150879},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5715989470481873},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5322121381759644},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5138290524482727},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.5029916167259216},{"id":"https://openalex.org/C153914771","wikidata":"https://www.wikidata.org/wiki/Q5227343","display_name":"Data reduction","level":2,"score":0.4945387542247772},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4893881678581238},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4866243302822113},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4834626615047455},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.48084911704063416},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.43627652525901794},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3477717638015747},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32138657569885254},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1592789590358734},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.2298/csis1001127z","is_oa":true,"landing_page_url":"https://doi.org/10.2298/csis1001127z","pdf_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02141001127Z","source":{"id":"https://openalex.org/S206939107","display_name":"Computer Science and Information Systems","issn_l":"1820-0214","issn":["1820-0214","2406-1018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321031","host_organization_name":"ComSIS Consortium","host_organization_lineage":["https://openalex.org/P4310321031"],"host_organization_lineage_names":["ComSIS Consortium"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Science and Information Systems","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.430.937","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.430.937","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.doiserbia.nb.rs/img/doi/1820-0214/2010/1820-02141001127Z.pdf","raw_type":"text"},{"id":"pmh:oai:doiserbia:1820-02141001127Z","is_oa":false,"landing_page_url":"http://doi.org/10.2298/CSIS1001127Z","pdf_url":null,"source":{"id":"https://openalex.org/S4306400515","display_name":"Digital Object Identifier (DOI) Repository Serbia (National Library of Serbia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210142455","host_organization_name":"National Library of Serbia","host_organization_lineage":["https://openalex.org/I4210142455"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":". 7(1) 127-138"}],"best_oa_location":{"id":"doi:10.2298/csis1001127z","is_oa":true,"landing_page_url":"https://doi.org/10.2298/csis1001127z","pdf_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02141001127Z","source":{"id":"https://openalex.org/S206939107","display_name":"Computer Science and Information Systems","issn_l":"1820-0214","issn":["1820-0214","2406-1018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321031","host_organization_name":"ComSIS Consortium","host_organization_lineage":["https://openalex.org/P4310321031"],"host_organization_lineage_names":["ComSIS Consortium"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Science and Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320312290","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165"},{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2084891393.pdf","grobid_xml":"https://content.openalex.org/works/W2084891393.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W49146665","https://openalex.org/W1500848630","https://openalex.org/W1554944419","https://openalex.org/W1564277727","https://openalex.org/W1988299413","https://openalex.org/W2051856481","https://openalex.org/W2084812512","https://openalex.org/W2117154949","https://openalex.org/W2132890143","https://openalex.org/W2143304877","https://openalex.org/W2150796457","https://openalex.org/W2152010828","https://openalex.org/W2159607632","https://openalex.org/W2163352848","https://openalex.org/W2164071167","https://openalex.org/W2588052735"],"related_works":["https://openalex.org/W2375574759","https://openalex.org/W2383239174","https://openalex.org/W3088634662","https://openalex.org/W117517268","https://openalex.org/W3162910294","https://openalex.org/W1995622179","https://openalex.org/W2539700568","https://openalex.org/W2931531042","https://openalex.org/W1484111231","https://openalex.org/W2166963679"],"abstract_inverted_index":{"Dimensionality":[0],"reduction":[1,21],"is":[2,24],"an":[3],"important":[4],"preprocessing":[5],"step":[6],"in":[7,35,82],"high-dimensional":[8],"data":[9,60,75,93,109],"analysis":[10],"without":[11],"losing":[12],"intrinsic":[13],"information.":[14],"The":[15],"problem":[16],"of":[17,37,46,64,71,90,106],"semi-supervised":[18],"nonlinear":[19],"dimensionality":[20],"called":[22],"KNDR":[23,56,107],"considered":[25],"for":[26,108],"wood":[27,112],"defects":[28,113],"recognition.":[29],"In":[30],"this":[31],"setting,":[32],"domain":[33],"knowledge":[34],"forms":[36],"pairs":[38,45],"constraints":[39,80],"are":[40],"used":[41],"to":[42,49],"specify":[43],"whether":[44],"instances":[47],"belong":[48],"the":[50,59,69,79,83,88,91,103],"same":[51],"class":[52],"or":[53,124],"different":[54],"classes.":[55],"can":[57,94],"project":[58],"onto":[61],"a":[62],"set":[63],"'useful'":[65],"features":[66],"and":[67,73,111],"preserve":[68],"structure":[70],"labeled":[72],"unlabeled":[74],"as":[76,78],"well":[77],"defined":[81],"embedding":[84],"space,":[85],"under":[86],"which":[87],"projections":[89],"original":[92],"be":[95],"effectively":[96],"partitioned":[97],"from":[98],"each":[99],"other.":[100],"We":[101],"demonstrate":[102],"practical":[104],"usefulness":[105],"visualization":[110],"recognition":[114],"through":[115],"extensive":[116],"experiments.":[117],"Experimental":[118],"results":[119],"show":[120],"it":[121],"achieves":[122],"similar":[123],"even":[125],"higher":[126],"performances":[127],"than":[128],"some":[129],"existing":[130],"methods.":[131]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}